Applications of the Primordiar Systems Engine

This defensive publication describes seven derivative systems based on the Primordiar Systems Engine (PSE), ranging from AI collapse prevention to ethical AGI constraint logic. Each module is grounded in coherence monitoring, phase dynamics, and ontological safety principles. This document serves as prior art and is protected under U.S. Provisional Patent No. 63/807,405. All content is licensed under CC BY 4.0 and must be cited accordingly.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29093120.v1
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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Applications of the Primordiar Systems Engine

Figshare
Adversarial Robustness in Machine Learning
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Applications of the Primordiar Systems Engine

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Abstract

This defensive publication describes seven derivative systems based on the Primordiar Systems Engine (PSE), ranging from AI collapse prevention to ethical AGI constraint logic. Each module is grounded in coherence monitoring, phase dynamics, and ontological safety principles. This document serves as prior art and is protected under U.S. Provisional Patent No. 63/807,405. All content is licensed under CC BY 4.0 and must be cited accordingly.

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Adversarial Robustness in Machine Learning
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Applications of the Primordiar Systems Engine · Figshare (2025) | TGRS Research Map | TGRS